Biomedical signals [Neurosurgery Wiki]

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====== Biomedical signals ======

The analysis of biomedical signals for clinical studies and therapeutic applications can benefit from embedded [[device]]s that can process these signals locally and in real-time. An example is an analysis of [[intracranial EEG]] (iEEG) from [[epilepsy]] patients for the detection of [[High-Frequency Oscillations]] (HFO), which are a [[biomarker]] for epileptogenic brain tissue. Mixed-signal neuromorphic circuits offer the possibility of building compact and low-power neural network processing systems that can analyze data online in real-time. 

Sharifshazileh et al. present a [[neuromorphic system]] that combines a neural recording headstage with a [[spiking neural network]] (SNN) processing core on the same die for processing [[intracranial EEG]] (iEEG), and show how it can reliably detect [[High-Frequency Oscillations]] (HFO), thereby achieving state-of-the-art [[accuracy]], [[sensitivity]], and [[specificity]]. This is the first feasibility study towards identifying relevant features in iEEG in real-time using mixed-signal neuromorphic computing technologies
((Sharifshazileh M, Burelo K, Sarnthein J, Indiveri G. An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG. Nat Commun. 2021 May 25;12(1):3095. doi: 10.1038/s41467-021-23342-2. PMID: 34035249.)).